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| DOI | 10.1016/j.accre.2020.06.005 |
| Projection of residential and commercial electricity consumption under SSPs in Jiangsu province; China | |
| Zhang M.; Cheng C.-H.; Ma H.-Y. | |
| Date Issued | 2020 |
| ISSN | 1674-9278 |
| startpage | 131 |
| endpage | 140 |
| Volume | 11Issue:2 |
| Other Abstract | Future electricity consumption may increase due to climate change, but the amplitude depends on the interaction between many uncertain mechanisms. Based on the linear model and policy model, the residential and commercial electricity consumption in Jiangsu province are projected under the shared socioeconomic pathways (SSPs). The linear model considers climate and socioeconomic factors, and the policy model also takes policy factors into account. We find that the cooling degree days (CDD) coefficient is about 3 times of heating degree days (HDD), which reflects that the cooling demand is much larger than heating, and also shows in the projection. The results of the policy model are generally lower than the linear model, which is the impact of policy factors. For example, the SSP1 and SSP2 of the policy model are 320 TW h and 241.6 TW h lower than the linear model in 2100, respectively. At the end of the 21st century, the residential and commercial electricity consumption in Jiangsu province will reach 107.7–937.9 TW h per year, 1.3–11.6 times of 2010. The SSP1 scenario under the policy model is based on feasible assumptions, and can be used as the target scenario for policymakers to establish energy intensity reduction targets. © 2020 National Climate Center (China Meteorological Administration) |
| Language | 英语 |
| journal | Advances in Climate Change Research
 |
| Document Type | 期刊论文 |
| Identifier | http://gcip.llas.ac.cn/handle/2XKMVOVA/168733 |
| Affiliation | Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Institute for Climate and Application Research (ICAR), Nanjing University of Information Science and Technology, Nanjing, 210044, China |
| Recommended Citation GB/T 7714 | Zhang M.,Cheng C.-H.,Ma H.-Y.. Projection of residential and commercial electricity consumption under SSPs in Jiangsu province; China[J],2020,11(2). |
| APA | Zhang M.,Cheng C.-H.,&Ma H.-Y..(2020).Projection of residential and commercial electricity consumption under SSPs in Jiangsu province; China.Advances in Climate Change Research,11(2). |
| MLA | Zhang M.,et al."Projection of residential and commercial electricity consumption under SSPs in Jiangsu province; China".Advances in Climate Change Research 11.2(2020). |
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